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An Approach for a Quality-Based Test of Industrial Smart Service Concepts

 
: Neuhüttler, Jens; Woyke, Inka; Ganz, Walter; Spath, Dieter

:

Ahram, Tareq Z. (Ed.):
Advances in Artificial Intelligence, Software and Systems Engineering : Joint Proceedings of the AHFE 2018 International Conference on Human Factors in Artificial Intelligence and Social Computing and AHFE 2018 International Conference Human Factors, Software, and Systems Engineering, July 21-25, 2018, Loews Sapphire Falls Resort at Universal Studios, Orlando, Florida, USA
Cham: Springer International Publishing, 2019 (Advances in Intelligent Systems and Computing 787)
ISBN: 978-3-319-94228-5 (Print)
ISBN: 978-3-319-94229-2 (Online)
ISBN: 3-319-94228-X
S.171-182
International Conference on Human Factors in Artificial Intelligence and Social Computing <2018, Orlando/Fla.>
International Conference on Applied Human Factors and Ergonomics (AHFE) <9, 2018, Orlando/Fla.>
International Conference Human Factors, Software, and Systems Engineering <2018, Orlando/Fla.>
Englisch
Konferenzbeitrag
Fraunhofer IAO ()

Abstract
Using machine data for improving the service business offers new potentials for differentiation to manufacturing firms. However, the development of industrial Smart Service concepts is a rather complex task: Different elements (e.g. technologies, digital services and personal services) have to be considered together and customer requirements for these new offers are often unknown. In this context, testing the newly developed Smart Service concepts can help manufacturing companies to avoid development failures and to ensure their value. The focus of our paper is to introduce a new approach for testing industrial Smart Service concepts on their perceived quality for potential customers. The approach includes a process model, an evaluation framework that includes criteria derived from existing approaches and specific Smart Service items.

: http://publica.fraunhofer.de/dokumente/N-537310.html